Fracture identification of X-ray image

This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical...

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Bibliographic Details
Published in2010 International Conference on Wavelet Analysis and Pattern Recognition pp. 67 - 73
Main Authors Jian Liang, Bao-Chang Pan, Yong-Hui Huang, Xiao-Yan Fan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Fracture identification
High-order statistical moments
Image edge detection
Image segmentation
Mathematical morphology
Partial threshold method
Pattern recognition
Pixel
Skeleton
Wavelet analysis
X-ray image
X-ray imaging
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ISBN1424465303
9781424465309
ISSN2158-5695
DOI10.1109/ICWAPR.2010.5576438

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Summary:This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing the target border image and covering the extracted skeleton, the precise location of fractures can be recognized and therefore the fractures in the X-ray photos will be identified.
ISBN:1424465303
9781424465309
ISSN:2158-5695
DOI:10.1109/ICWAPR.2010.5576438